feat(ndarray-safetensors): add tensor_by_index method for SafeArraysView

src/database.rs

@@ -551,10 +551,10 @@ fn add_sqlite_cosine_similarity(db: &Connection) -> Result<()> {
                 .map_err(|e| rusqlite::Error::UserFunctionError(e.into()))?;
 
             let array_view_1 = array_1_st
-                .tensor::<f32, ndarray::Ix1>("embedding")
+                .tensor_by_index::<f32, ndarray::Ix1>(0)
                 .map_err(|e| rusqlite::Error::UserFunctionError(e.into()))?;
             let array_view_2 = array_2_st
-                .tensor::<f32, ndarray::Ix1>("embedding")
+                .tensor_by_index::<f32, ndarray::Ix1>(0)
                 .map_err(|e| rusqlite::Error::UserFunctionError(e.into()))?;
 
             let similarity = array_view_1

src/main.rs

@@ -130,7 +130,7 @@ where
         .attach_printable("Failed to detect faces")?;
 
     // Store image and face detections in database if requested
-    let (image_id, face_ids) = if let Some(ref database) = db {
+    let (_image_id, face_ids) = if let Some(ref database) = db {
         let image_path = detect.image.to_string_lossy();
         let img_id = database
             .store_image(&image_path, image_width, image_height)